搜索资源列表
complex
- 优化设计算法：用复合形法求目标函数的最优解和最优值，已经验证算法的正确性，visual C++6.0开发-Optimization Algorithm: The objective function of complex method seeking the optimal solution and optimal value, has verified the correctness of the algorithm, visual C++6.0 development
C++youhuajisuan
- 拟牛顿法（变尺度法）DFP算法的c/c++源码，可以通过修改目标函数进行各种计算。-Quasi-Newton method (DFP) DFP algorithm c/c++ Source, you can by modifying the objective function for a wide variety of computing.
mpowell.c
- 优化算法,POWELL算法 C码,不需要目标函数求导,适应于多变量优化.-Optimization algorithm, POWELL algorithm C code, does not require the objective function derivation, adapted to multi-variable optimization.
danchunxing
- 单纯形法求目标函数极值及决策变量值，c语言编写-Simplex method for the objective function and decision-making variable extremum value, c language
grid_method
- 优化设计算法：用1维格点法求目标函数的最优解和最优值，已经验证算法的正确性，visual C++6.0开发-Optimization algorithm: 1 Dimensional grid Method with the objective function of the optimal solution and optimal value, has verified the correctness of the algorithm, visual C++6.0 development
golden_section
- 优化设计算法：用黄金分割法求目标函数的最优解和最优值，已经验证算法的正确性，visual C++6.0开发-Optimization algorithm: The Golden Section Method objective function of optimal solution and optimal value, has verified the correctness of the algorithm, visual C++6.0 development
Differential_Evolution
- 优化设计算法：用微分进化法求目标函数的最优解和最优值，已经验证算法的正确性，visual C++6.0开发-Optimization Algorithm: Differential Evolution Method with the objective function of the optimal solution and optimal value, has verified the correctness of the algorithm, visual C++6.0 developmen
simplex
- 优化设计算法：用单纯形法求解目标函数的最优解和最优值，已经验证算法的正确性，在visual c++6.0下开发-Optimization algorithm: the simplex method with the optimal solution of objective function and the optimal value, has verified the correctness of the algorithm in visual c++6.0 under development
powell
- 优化设计算法：用powell法求解目标函数的最优解和最优值，已经验证算法的正确性，在visual c++6.0下开发-Optimization algorithm: Solving the objective function with powell optimal solution and optimal value, has verified the correctness of the algorithm, the visual c++6.0 under development
dimension_turn_6
- 优化设计算法：用坐标轮换法求目标函数的最优解和最优值，已经验证算法的正确性，visual C++6.0开发，变量维数为6 -Optimization Algorithm: Method using coordinate rotation objective function of optimal solution and optimal value, has verified the correctness of the algorithm, visual C++6.0 developmen
Differential_Evolution2
- 优化设计算法：用微分进化法求目标函数的最优解和最优值，有约束条件，已经验证算法的正确性，visual C++6.0开发-Optimization Algorithm: Differential Evolution Method with the objective function of the optimal solution and optimal value, there are constraints, has verified the correctness of the algori
NSGAII
- NSGA II C++ CODES FOR MULTI-OBJECTIVE EVOLUTIONARY COMPUTATIONS
NSGA-code-in-C-(for-Windows-and-Linux)-original.r
- Non-Dominated Sorting Genetic Algorithm for Multi-Objective Optimization
c
- 工程优化——黄金分割法，用于解决一维n次的目标函数-Engineering Optimization- golden section method for solving one-dimensional objective function n times
FCMClust
- 模糊C-均值评价分析,能够对目标函数进行系统的模糊评价分析，得到可靠的计算结果-Fuzzy C- Means uation and analysis system capable of objective function fuzzy uation and analysis, reliable results
particle-swarm-optimization
- PSO 单目标粒子群算法用c++语言实现-PSO PSO algorithm with single objective c++ language
Quadratic-Programming
- 功能：用拉格朗日方法求解等式约束二次规划：min f(x)=0.5*x Hx+c x,s.t.Ax=b 输入：H,c分别是目标函数的矩阵和向量，A,b分别是约束条件中的矩阵和向量 输出：（x,lam)是KT点，fval是最优值。-Function: Lagrangian method for solving equality constrained quadratic programming: min f (x) = 0.5* x Hx+ c x, s.t.Ax = b Input:
nsga2code
- C语言开发的基于基因遗传算法进行多目标优化设计-C language development based on genetic genetic algorithm for multi-objective optimization design
FCM,模糊C均值聚类的MATLAB实现[matlab]-FCM
- 模糊c-均值聚类算法 fuzzy c-means algorithm (FCMA)或称（ FCM）。在众多模糊聚类算法中，模糊C-均值（ FCM） 算法应用最广泛且较成功，它通过优化目标函数得到每个样本点对所有类中心的隶属度，从而决定样本点的类属以达到自动对样本数据进行分类的目的。(Fuzzy c-means algorithm (FCMA) or FCM. Among many fuzzy clustering algorithms, the fuzzy C-means (FCM) algor